Ye Liu

Artificial Intelligence · with Gao · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ye Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Oriol Vinyals

Papers from Ye Liu's perspective

Ordered by how strongly the researchers Ye Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Matching Networks for One Shot Learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers